Triple
T2975128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molokini Crater |
E80375
|
entity |
| Predicate | waterVisibility |
P15328
|
FINISHED |
| Object | often exceeds 100 feet |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: often exceeds 100 feet | Statement: [Molokini Crater, waterVisibility, often exceeds 100 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterVisibility Context triple: [Molokini Crater, waterVisibility, often exceeds 100 feet]
-
A.
hasWaterClarity
chosen
Indicates the degree to which water in a given context is clear, transparent, or free from visible impurities.
-
B.
waterColor
Indicates that one entity is the color or hue characteristic of water associated with another entity.
-
C.
waterwayStatus
Indicates the current navigational or operational condition of a waterway, such as whether it is open, restricted, or closed for use.
-
D.
waterLevelRise
Indicates that the level of water in a given area or container has increased over time.
-
E.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99894bb0819099fa5cc5166c0eeb |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.